Pre-processing of holoscopic 3D image for autostereoscopic 3D displays
Authors
Swash, M.R.Aggoun, Amar
Fatah, O. Abdul
Li, B.
Fernandez, Juan C. J.
Alazawi, E.
Tsekleves, Emmanuel
Issue Date
2013-12Subjects
3D3D display
holoscopic image
integral image
lens array
microlens arrays
viewpoint
autostereoscopic
cameras
microlenses
stereo image processing
three-dimensional displays
3D scene
autostereoscopic 3D displays
dark borders
full color 3D optical models
holoscopic 3D display
holoscopic 3D image
integral imaging
microlens arrays
reference point
single aperture holoscopic 3D imaging camera
viewing zone
depth control
Metadata
Show full item recordAbstract
Holoscopic 3D imaging also known as Integral imaging is an attractive technique for creating full colour 3D optical models that exist in space independently of the viewer. The constructed 3D scene exhibits continuous parallax throughout the viewing zone. In order to achieve depth control, robust and real-time, a single aperture holoscopic 3D imaging camera is used for recording holoscopic 3D image using a regularly spaced array of microlens arrays, which view the scene at a slightly different angle to its neighbour. However, the main problem is that the microlens array introduces a dark borders in the recorded image and this causes errors at playback on the holoscopic 3D Display. This paper proposes a reference based pre-processing of holoscopic 3D image for autostereoscopic holoscopic 3D displays. The proposed method takes advantages of microlens as reference point to detect amount of introduced dark borders and reduce/remove them from the holoscopic 3D image.Citation
Swash, M.R., Aggoun, A., Abdulfatah, O., Li, B., Fernandez, J.C., Alazawi, E., Tsekleves, E. (2013) 'Pre-processing of holoscopic 3D image for autostereoscopic 3D displays,' 3D Imaging (IC3D), 2013 International Conference on, Belgium 3-5 December. Available at http://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=32608Type
Conference papers, meetings and proceedingsLanguage
enSponsors
This work has been supported by European Commission under Grant FP7 ICT 2009 4 (3D VIVANT).ae974a485f413a2113503eed53cd6c53
10.1109/IC3D.2013.6732100
Scopus Count
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